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Paper Abstract and Keywords
Presentation 2015-07-14 09:30
Recommendation system of tourist spots using large amounts of tourism information
Ryota Kaichi, Yasuhiko Higaki (Chiba Univ) LOIS2015-14
Abstract (in Japanese) (See Japanese page) 
(in English) The authors developed recommendation system of tourist spots that is based on the latent interest. Latent interest was acquired from word vectors that made by learning from text data of tourism information on the Web. A tourist spots database was made by classifying Wikipedia keywords in tourism-related degree. And tourism information was collected by this database. Word vectors were acquired by learning tourism information using word2vec. The authors have implemented the recommendation system of tourist spots as iOS application. Some of the features, such as recommendation, bookmark, history check and automatic recommendation were added to the application. And the authors have added a system for updating the word vector from the user’s usage history. To evaluate recommendation system of tourist spots and to solve the problem of spelling are future challenges.
Keyword (in Japanese) (See Japanese page) 
(in English) word2vec / Recommendation system of tourist spots / Large amounts of information / Latent Interest / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 138, LOIS2015-14, pp. 29-34, July 2015.
Paper # LOIS2015-14 
Date of Issue 2015-07-06 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2015-14

Conference Information
Committee LOIS IPSJ-DC  
Conference Date 2015-07-13 - 2015-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Future University Hakodate 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2015-07-LOIS-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Recommendation system of tourist spots using large amounts of tourism information 
Sub Title (in English)  
Keyword(1) word2vec  
Keyword(2) Recommendation system of tourist spots  
Keyword(3) Large amounts of information  
Keyword(4) Latent Interest  
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1st Author's Name Ryota Kaichi  
1st Author's Affiliation Chiba University (Chiba Univ)
2nd Author's Name Yasuhiko Higaki  
2nd Author's Affiliation Chiba University (Chiba Univ)
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Speaker Author-1 
Date Time 2015-07-14 09:30:00 
Presentation Time 30 minutes 
Registration for LOIS 
Paper # LOIS2015-14 
Volume (vol) vol.115 
Number (no) no.138 
Page pp.29-34 
#Pages 6 
Date of Issue 2015-07-06 (LOIS) 

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